Downloads · 30 days
13
22% of all-time downloads
video-8b-grpo-n16-noexplore
ngqtrung/video-8b-grpo-n16-noexplore
video-8b-grpo-n16-noexplore is a video-text-to-text model from ngqtrung. Use it for the video-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
RLVR post-training of Qwen/Qwen3-VL-8B-Instruct on multiple-choice video QA with fully-async GRPO at rollout.n = 16, no exploration. Keeper = globalstep40.
All-time downloads
60
Public
Parameters
8.8B
17.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors17.5 GB · 100%
At a glance
- Task
- Video-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_vl
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026
- SHA
- 01df4816
Base models
Model card
From the Hugging Face model README
video-8b-grpo-n16-noexplore
RLVR post-training of Qwen/Qwen3-VL-8B-Instruct on multiple-choice video QA with fully-async
GRPO at rollout.n = 16, no exploration. Keeper = global_step_40.
Why this checkpoint is published
It is the paired no-exploration control for
ngqtrung/video-8b-grpo-n16-warm-explore,
the campaign's highest score. The pair is the whole point: same corpus, same group size, same step,
one variable.
| core-3 @40 | |
|---|---|
| n16 + exploration (published sibling) | 0.4942 |
| this control, no exploration | 0.4879 |
| difference | +0.63 pt for exploration |
That 0.63 pt sits inside the campaign's own noise — the top five checkpoints span 1.0 pt on the same 5,645 rows. Publishing the control is what lets anyone check that for themselves rather than taking the winner's margin at face value.
Evaluation
core-3 = 5,645 rows, num_failed = 0.
| mean_accuracy | VideoMME | Video-Holmes | PerceptionComp | |
|---|---|---|---|---|
| gs40 | 0.4879 | 0.6570 | 0.4692 | 0.3375 |
| stock base | 0.4426 | 0.6404 | 0.4066 | 0.2807 |
Protocol caveat. Measured before 2026-08-23, without <think> prefill at eval time, so format
reads 0.0. Internally consistent; do not mix with prefill-era numbers.
Training setup
| algorithm | GRPO, fully-async (verl fork), no exploration |
| corpus | video v3 24f100k, multiple-choice video QA |
| group size | rollout.n = 16 |
| topology | 4 nodes, 2 trainer + 2 rollout |
- Task
- Video-Text-to-Text
- Library
- transformers
- Type
- qwen3_vl
- License
- apache-2.0
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026